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This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
All roads in the western United States from the 2000 US Census Bureau 1:100,000 scale TIGER/line files.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
California,
Census 2000,
Colorado,
Idaho,
Conservation Biology Institute selected closed USFS roads from the "Roads with Core Attributes" dataset based on the following criteria:Roaded areas for closed roads were determined based on the NFS definition:"ROUTE_STATUS" = 'EX - EXISTING' AND "JURISDICTION" = 'FS - FOREST SERVICE' AND "SYSTEM" = 'NFSR - NATIONAL FOREST SYSTEM ROAD' AND ("OPER_MAINT_LEVEL" = '1 - BASIC CUSTODIAL CARE (CLOSED)')Original metadata: A route feature stores the spatial locations (geography) of the road. These feature classes have an (M) value or measure on their vertices. A route system depicts all roads within or in close proximity to an administrative unit. A road is a motor vehicle travel way over 50 inches wide, unless classified...
This dataset depicts roads built on the Tongass National Forest prior to 1960. This dataset is part of a larger analysis of road building and timber harvest on the Tongass National Forest, compiled for the report Scientific Basis for Roadless Area Conservation (http://www.consbio.org/cbi/projects/show.php?page=roadless/roadless.htm), pp 70-73. Road segments from a US Forest Service roads layer were attributed to the most likely decade in which the road was built, as determined by an analysis of connectivity to clearcuts on the Tongass National Forest from that decade. It was assumed that following 1960, harvests required access to mills or extraction sites, and thus roads connecting to them were most likely built...
This dataset depicts forest fragmentation in central Africa by roads. This dataset includes roads. This study, or Pilot Analysis of Global Ecosystems (PAGE), examines forest ecosystems of the world using a large collection of spatial and temporal data. This study analyzes datasets at the global, national, and subnational levels, and draws on published and unpublished scientific studies. It develops selected indicators that describe the condition of the world's forests, where condition is defined as the current and future capacity of forests to provide the full range of goods and services that humans need and consume.
Detailed roads of the Navajo Nation and vicnity for use in mapping. Not intended for use as centerlines data. In September 2011, 2010 Tiger Line roads were re-attributed into six classes using OpenStreetMap and Bing Aerial Imagery as reference sources. Route numbers were corrected or assigned and segments were split when necessary. Due to overlapping segments, use Symbol Levels for proper display. The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national...
The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB tha begin with "S". This includes...
A polygon dataset of current road footprints in the SNK REA derived from the Alaska Department of Natural Resources infrastructure data (see the process steps for details). (This data depicts infrastructure locations in Alaska as digitized primarily from 1:24,000, 1:63,360, and 1:250,000 USGS quadrangles. The source document that represented the newest information and best geographic location was used to capture the data. All infrastructure from the primary source document was digitized and then supplemented with the information from other source documents for additional or updated infrastructure or attributes.)
This dataset contains TIGER roads, electrical transmission lines, Integrated Climate and Land Use Scenarios (ICLUS), wind turbine, and oil and gas wells, Data was reclassified and merged together to create a an anthropogenic layer.
U.S. Fish and Wildlife Service Road Inventory
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Bridge,
CRV,
Condition,
Culvert,
GIS,
Layers of geospatial data include roads, airports, trails, and railroads.
Layers of geospatial data include roads, airports, trails, and railroads.
Layers of geospatial data include roads, airports, trails, and railroads.
Layers of geospatial data include roads, airports, trails, and railroads.
Layers of geospatial data include roads, airports, trails, and railroads.
Layers of geospatial data include roads, airports, trails, and railroads.
Layers of geospatial data include roads, airports, trails, and railroads.
Layers of geospatial data include roads, airports, trails, and railroads.
Layers of geospatial data include roads, airports, trails, and railroads.
Layers of geospatial data include roads, airports, trails, and railroads.
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